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1دورية أكاديمية
المؤلفون: Samin Babaei Rikan, Amir Sorayaie Azar, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Uffe Kock Wiil
المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
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2دورية أكاديمية
المؤلفون: Amir Sorayaie Azar, Amin Naemi, Samin Babaei Rikan, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Uffe Kock Wiil
المصدر: BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-13 (2023)
مصطلحات موضوعية: Monkeypox, Epidemic, Artificial Intelligence, Deep learning, Explainable Artificial Intelligence, LIME, Infectious and parasitic diseases, RC109-216
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1471-2334
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3دورية أكاديمية
المؤلفون: Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil
المصدر: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-24 (2022)
مصطلحات موضوعية: Ovarian cancer, Clinical features, Survival prediction, Machine learning, Interpretable machine learning, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1472-6947
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4دورية أكاديمية
المؤلفون: Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen, Anette Søgaard Nielsen
المصدر: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-25 (2022)
مصطلحات موضوعية: Alcohol use disorder, Clinical factor identification, Gender disparity, Machine learning, Feature selection, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1472-6947
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5دورية أكاديمية
المؤلفون: Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil
المصدر: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)
مصطلحات موضوعية: Length of stay, LOS, Classification, Regression, Machine learning, Vital signs, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1472-6947
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6دورية أكاديمية
المؤلفون: Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Sogaard Nielsen, Ghulam Mujtaba Shaikh, Marjan Mansourvar
المصدر: IEEE Access, Vol 9, Pp 151697-151712 (2021)
مصطلحات موضوعية: Systematic literature review, alcohol use disorder, prediction, machine learning, supervised learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: Mohammad Naghavi-Behzad, Thomas Schmidt, Amin Naemi, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil
المصدر: BMJ Open, Vol 11, Iss 11 (2021)
مصطلحات موضوعية: Medicine
وصف الملف: electronic resource
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8
المؤلفون: Marjan Mansourvar, Uffe Kock Wiil, Anette Søgaard Nielsen, Ghulam Mujtaba Shaikh, Ali Ebrahimi, Thomas Schmidt, Amin Naemi
المصدر: IEEE Access, Vol 9, Pp 151697-151712 (2021)
Ebrahimi, A, Wiil, U K, Schmidt, T, Naemi, A, Nielsen, A S, Shaikh, G M & Mansourvar, M 2021, ' Predicting the Risk of Alcohol Use Disorder Using Machine Learning : A Systematic Literature Review ', IEEE Access, vol. 9, pp. 151697-151712 . https://doi.org/10.1109/ACCESS.2021.3126777مصطلحات موضوعية: Feature engineering, Data collection, General Computer Science, Computer science, business.industry, Systematic literature review, General Engineering, Feature selection, prediction, alcohol use disorder, Machine learning, computer.software_genre, Data type, supervised learning, Field (computer science), TK1-9971, Systematic review, machine learning, Feature (machine learning), General Materials Science, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, business, computer, Decision analysis
وصف الملف: application/pdf
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9
المؤلفون: Amin Naemi, Mostafa Naemi, Romina Zarrabi Ekbatani, Thomas Schmidt, Ali Ebrahimi, Marjan Mansourvar, Uffe Kock Wiil
المصدر: Advances in Sustainability Science and Technology ISBN: 9789811691003
Naemi, A, Naemi, M, Ekbatani, R Z, Schmidt, T, Ebrahimi, A, Mansourvar, M & Wiil, U K 2022, Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models . in Smart and Sustainable Technology for Resilient Cities and Communities . Springer, Advances in Sustainability Science and Technology, pp. 119-135 . https://doi.org/10.1007/978-981-16-9101-0_9URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3142b115e2826056625ddd5406dafb8c
https://doi.org/10.1007/978-981-16-9101-0_9 -
10
المؤلفون: Mostafa Naemi, Amin Naemi, Romina Zarrabi Ekbatani, Ali Ebrahimi, Thomas Schmidt, Uffe Kock Wiil
المساهمون: Howlett, Robert J., Jain, Lakhmi C., Littlewood, John R., Balas, Marius M.
المصدر: Naemi, M, Naemi, A, Ekbatani, R Z, Ebrahimi, A, Schmidt, T & Wiil, U K 2022, Modeling and Evaluating the Impact of Social Restrictions on the Spread of COVID-19 Using Machine Learning . in R J Howlett, L C Jain, J R Littlewood & M M Balas (eds), Smart and Sustainable Technology for Resilient Cities and Communities . Springer, Advances in Sustainability Science and Technology, pp. 107-118 . https://doi.org/10.1007/978-981-16-9101-0_8
Advances in Sustainability Science and Technology ISBN: 9789811691003URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6189e09db1b2f91185cc3000edde82e
https://portal.findresearcher.sdu.dk/da/publications/0ea88f29-e24c-4c74-be0e-4364174e4fd8